Importance of statistics

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Importance of statistics

Statistical Unit.

One single data as the main source of the investigation

Sampling unit: object that has been sampled from a statistical population

experiential unit: member of a set of objects that are initially equal

Statistical Variable

Measure a set of items to represent or collect information

Types

Quantitative variable:btopic

Are represented in numerical quantities such as counting or measuring.

Companies, Investments, Earnings

Qualitative variables:

Represent characteristics that cannot be measured in numbers only in categories or groups.

example

Savings, Travel, Classification

Statistical tools

Control charts

Stratification

Dispersion diagram

Cause-effect diagram

Pareto chart

Histogram

Data collection sheet

Statistic sample

subset of data to simplify the information of an investigation

Types

Probable not sample

In this type of sample, the data or elements that may be probable depending on the investigation are taken as a basis.

Survey, Amount,

Probable sample

In this type of sample, the entire population or subject has the same probability of being included in the research result.

Example

Iversion, profit, loss

Descriptive statistics

Tables, graphs, figures and images.

The main objective is to collect and present information in a clear and concise way.

Order, classify the information using graphs and tables to obtain a simple analysis of the data.